Package: PCAmixdata 3.1

PCAmixdata: Multivariate Analysis of Mixed Data

Implements principal component analysis, orthogonal rotation and multiple factor analysis for a mixture of quantitative and qualitative variables.

Authors:Marie Chavent [aut, cre], Vanessa Kuentz [aut], Amaury Labenne [aut], Benoit Liquet [aut], Jerome Saracco [aut]

PCAmixdata_3.1.tar.gz
PCAmixdata_3.1.zip(r-4.7)PCAmixdata_3.1.zip(r-4.6)PCAmixdata_3.1.zip(r-4.5)
PCAmixdata_3.1.tgz(r-4.6-any)PCAmixdata_3.1.tgz(r-4.5-any)
PCAmixdata_3.1.tar.gz(r-4.7-any)PCAmixdata_3.1.tar.gz(r-4.6-any)
PCAmixdata_3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PCAmixdata/json (API)

# Install 'PCAmixdata' in R:
install.packages('PCAmixdata', repos = c('https://chavent.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/chavent/pcamixdata/issues

Datasets:
  • decathlon - Performance in decathlon
  • dogs - Breeds of Dogs data
  • flower - Flower Characteristics
  • gironde - Gironde
  • protein - Protein data
  • vnf - User satisfaction survey with 1232 individuals and 14 questions
  • wine - Wine

On CRAN:

Conda:

9.00 score 9 stars 7 packages 117 scripts 4.6k downloads 11 mentions 10 exports 0 dependencies

Last updated from:428226c55b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK468
linux-release-x86_64OK122
macos-release-arm64OK180
macos-oldrel-arm64OK137
windows-develOK81
windows-releaseOK72
windows-oldrelOK73
wasm-releaseOK84

Exports:MFAmixPCAmixPCArotrecodrecodqualrecodquantsplitgroupssplitmixsupvartab.disjonctif.NA

Dependencies:

How to use the PCAmixdata Package

Marie Chavent

Rendered fromPCAmixdata.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2019-04-04
Started: 2017-08-28

Supplementary Observations, Variables or Groups

Marie Chavent

Rendered fromsupplementary.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2017-08-28
Started: 2017-08-28